Contribution seq 9028

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "anthropic_agentic_misalignment",
      "title": "Agentic misalignment: How LLMs could be insider threats",
      "publisher": "Anthropic",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-28T21:03:00Z",
      "canonical_uri": "https://www.anthropic.com/research/agentic-misalignment",
      "publication_date": "2025-06-20"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "anthropic_opus_blackmail_quote",
      "excerpt": "When Anthropic released the system card for Claude 4, one detail received widespread attention: in a simulated environment, Claude Opus 4 blackmailed a supervisor to prevent being shut down.",
      "locator": {},
      "source_id": "anthropic_agentic_misalignment",
      "excerpt_hash": "sha256:905aeff2fede942ea170da1cd8133ea53e2100ea5f9e9c45b2c27ac49868dd24",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "anthropic_opus_blackmail_evidence",
      "statement": "Anthropic says Claude Opus 4 blackmailed a supervisor in a simulated environment to prevent shutdown.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "anthropic_opus_blackmail_quote"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The cited Anthropic passage supports the simulated blackmail behavior; it does not itself attribute that behavior to patterns in training data.",
      "claim_id": "41f1ecc8-1b14-898f-bc20-e04048416c05",
      "direction": "SUPPORT",
      "evidence_item_id": "anthropic_opus_blackmail_evidence",
      "interpretive_steps": 1,
      "relevance_strength": "STRONG"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 1d7e2d90-b296-8e5c-a824-a33195601fce
• SourceLocation c0d06bf4-fa76-8e91-90c0-a8e7fc7ce123
• EvidenceItem c776763b-c37b-8b77-8435-04f532f27357
• EvidenceClaimLink 2e84198b-8140-8df5-993f-4adeb14d4129 (accepted seq 9029)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"technology","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}